Evidence map›Paper›PMID 20360395›Full record

ArticleRNA (New York, N.Y.)2010

Systematic comparison of microarray profiling, real-time PCR, and next-generation sequencing technologies for measuring differential microRNA expression.

Anna Git, Heidi Dvinge, Mali Salmon-Divon, Michelle Osborne, Claudia Kutter, James Hadfield, Paul Bertone, Carlos Caldas

Abstract readComparative StudyEvaluation StudyValidation Study
In one paragraph

Article in RNA (New York, N.Y.), 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 319 papers, 8 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
319citing papers in PubMed, 8 pooled it
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

319 citing papers in PubMed, 8 syntheses or guidelines pooled it.

  1. Pooled it
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  5. Urinary microRNAs expression in prostate cancer diagnosis: a systematic review.Clinical & translational oncology : official publication of the Federation of Spanish Oncology Societies and of the National Cancer Institute of Mexico · 2020
    Pooled it
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  15. Epigenetics in Space: The Dynamic Cellular Response.Methods in molecular biology (Clifton, N.J.) · 2026
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  20. Article

259 more citing papers are in PubMed but not listed here.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

8 authors.

Anna GitCancer Research UK, Cambridge Research Institute, Li Ka Shing Centre, Cambridge CB2 0RE, United Kingdom. Anna.Git@cancer.org.uk
Heidi Dvinge
Mali Salmon-Divon
Michelle Osborne
Claudia Kutter
James Hadfield
Paul Bertone
Carlos Caldas

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

RNA abundance and DNA copy number are routinely measured in high-throughput using microarray and next-generation sequencing (NGS) technologies, and the attributes of different platforms have been extensively analyzed. Recently, the application of both microarrays and NGS has expanded to include microRNAs (miRNAs), but the relative performance of these methods has not been rigorously characterized. We analyzed three biological samples across six miRNA microarray platforms and compared their hybridization performance. We examined the utility of these platforms, as well as NGS, for the detection of differentially expressed miRNAs. We then validated the results for 89 miRNAs by real-time RT-PCR and challenged the use of this assay as a "gold standard." Finally, we implemented a novel method to evaluate false-positive and false-negative rates for all methods in the absence of a reference method.

Indexed as

AlgorithmsBase SequenceBreastBreast NeoplasmsCell Line, TumorFalse Negative ReactionsFalse Positive ReactionsFemaleGene ExpressionGene Expression ProfilingHumansMicroRNAsOligonucleotide Array Sequence AnalysisReverse Transcriptase Polymerase Chain ReactionRNA, NeoplasmSequence Analysis, RNAMicroRNAsRNA, Neoplasm

Identifiers

PMID20360395
PMCPMC2856892

What OpenQuestion holds

Textmetadata
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.